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fix: the way essential covariates and one-hot-encoded ones are processed #256
fix: the way essential covariates and one-hot-encoded ones are processed #256
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Looks great! A few changes needed, but overall very well executed!
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Looks great! All my concerns have been addressed, very happy with the result! 🦭
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Let's meeeerge 🦭
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Minor detail change request!
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Perfect! This get's an approval 🤩
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… values are assigned in essential and hot-encoded covariates for matching
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smol stuff
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Tiny question, will approve after! <3
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Approooove 🦭
Essential covariates are no longer "gender" and "age" by default, but all attributes from the patients group. Raises errors in case there are not enough control/treated patients with those attributes.
One-hot-encoded variables are not "gender" by default, but all attributes characterised by
extract_attribute_summary
function as Categorical.Added tests to the Matching Class
Changed some variable names (hyperparam -> hyperparameters) for better variable naming consistency.